A survey of techniques for internet traffic classification using machine learning

@article{Nguyen2008ASO,
  title={A survey of techniques for internet traffic classification using machine learning},
  author={Thuy T. T. Nguyen and Grenville J. Armitage},
  journal={IEEE Communications Surveys & Tutorials},
  year={2008},
  volume={10},
  pages={56-76}
}
The research community has begun looking for IP traffic classification techniques that do not rely on `well known¿ TCP or UDP port numbers, or interpreting the contents of packet payloads. New work is emerging on the use of statistical traffic characteristics to assist in the identification and classification process. This survey paper looks at emerging research into the application of Machine Learning (ML) techniques to IP traffic classification - an inter-disciplinary blend of IP networking… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 822 citations. REVIEW CITATIONS

8 Figures & Tables

Topics

Statistics

05010020082009201020112012201320142015201620172018
Citations per Year

823 Citations

Semantic Scholar estimates that this publication has 823 citations based on the available data.

See our FAQ for additional information.